May 1, 2024
Updated June 22, 2025
22 minute read
Amazon SageMaker: Your Comprehensive Guide to Cloud-Based Machine Learning
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Find a path to becoming a SageMaker. Learn more at:
OpenCourser.com/topic/l4nlxq/sagemake
Reading list
We've selected four books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
SageMaker.
Provides a comprehensive overview of Amazon SageMaker, covering the core concepts, features, and use cases of the platform. It is an excellent starting point for individuals who want to understand the basics of SageMaker and how it can be used for machine learning.
Provides a detailed guide to building machine learning pipelines with Amazon SageMaker. It covers everything from data preparation and feature engineering to model training and deployment. The book is written by an expert in the field and is packed with practical examples and code snippets.
Provides a detailed guide to building machine learning pipelines with Amazon SageMaker. It covers everything from data preparation and feature engineering to model training and deployment. The book is written by an expert in the field and is packed with practical examples and code snippets.
Provides an in-depth look at Amazon SageMaker, including its advanced features and use cases. It covers everything from data preparation and feature engineering to model training and deployment. The book is written by a team of experts from Neal Analytics and is packed with practical examples and code snippets.
For more information about how these books relate to this course, visit:
OpenCourser.com/topic/l4nlxq/sagemake
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